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이주의 저자랭킹

  1. 1위
    알렉스 카프
  3. 2.Elisabeth Vincentelli
  5. 3.맥스 베넷
  7. 4.Roberto Messa
  9. 5.월터 아이작슨
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (Hardcover)

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Statistics for Big Data for Dummies (Paperback)

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Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data (Hardcover)

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Pattern Recognition: A Quality of Data Perspective (Hardcover)

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Machine Learning: A Concise Introduction (Hardcover)

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Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us about Discovering Big Data Patterns (Paperback)

Thomas, Rob / John Wiley & Sons
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Statistical Data Cleaning with Applications in R (Hardcover)

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Data Mining and Learning Analytics: Applications in Educational Research (Hardcover)

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Effective CRM Using Predictive Analytics (Hardcover)

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Evolutionary Computation in Gene Regulatory Network Research (Hardcover)

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Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery (Hardcover)

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Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know (Paperback)

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Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual (Paperback)

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Data Mining Algorithms: Explained Using R (Hardcover)

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Data Preparation for Data Mining Using SAS [With CD] (Paperback)

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Role Mining in Business (Hardcover)

Alessandro Colantonio / World Scientific Pub Co Inc
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Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends (Hardcover)

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Pattern Discovery Using Sequence Data Mining: Applications and Studies (Hardcover)

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